The tree structure is one of the most powerful structures for data organization. An efficient
learning framework for transforming tree-structured data into vectorial representations is …

As one promising solution, zero-watermarking techniques have been proposed to enhance
the image visual quality and applied to protect the intellectual property rights of the medical …

Storage requirements for visual data have been increasing in recent years, following the
emergence of many highly interactive multimedia services and applications for mobile …

Visual content description is a key issue for machine-based image analysis and
understanding. A good visual descriptor should be both discriminative and computationally …

Content-based image retrieval (CBIR) is one of the fundamental image retrieval primitives.
Its applications can be found in various areas, such as art collections and medical …

In order to evaluate automated image annotation and object recognition algorithms, ground
truth in the form of a set of images correctly annotated with text describing each image is …

Related US Application Data(Continued)(63) thi? applit No.. Primary Examiner Charles Kim
ed on Oct. 7,, and a continuation-1n-part o (74) Attorney, Agent, or Firm Mahamedi Paradice …

The paper addresses learning-based characterization of fine art painting styles. The
research has the potential to provide a powerful tool to art historians for studying …

Embodiments enable searching of portions of objects in images, including programmatically
analyzing each image in a collection in order to determine image data that, for indi vidual …

We study the cosegmentation problem where the objective is to segment the same object
(ie, region) from a pair of images. The segmentation for each image can be cast using a …